SENSOR-BASED WIRELESS COMMUNICATION SYSTEMS USING COMPRESSIVE SAMPLING

• US 20100290395A1
• Filed: 04/15/2010
• Published: 11/18/2010
• Est. Priority Date: 04/15/2009
• Status: Abandoned Application

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Blackberry Limited
• Inventors: Lusina, Paul James, Sexton, Thomas Aloysius, Womack, James Earl, Simmons, Sean Bartholomew
• Application Number:
  US12/760,892
• Publication Number:
  US 20100290395A1
• Time in Patent Office: Days
• US Class Current: 370/328
• CPC Class Codes: H03M 7/30 Compression speech analysis-synthesis for redundancy reduction G10L19/00; for image communication H04N; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Methods, devices and systems for sensor-based wireless communication systems using compressive sampling are provided. In one embodiment, the method for sampling signals comprises receiving, over a wireless channel, a user equipment transmission based on an S-sparse combination of a set of vectors; down converting and discretizing the received transmission to create a discretized signal; correlating the discretized signal with a set of sense waveforms to create a set of samples, wherein a total number of samples in the set is equal to a total number of sense waveforms in the set, wherein the set of sense waveforms does not match the set of vectors, and wherein the total number of sense waveforms in the set of sense waveforms is fewer than a total number of vectors in the set of vectors; and transmitting at least one sample of the set of samples to a remote central processor.

Claims

1. A method for sampling signals, the method comprising:

receiving, over a wireless channel, a user equipment transmission based on an S-sparse combination of a set of vectors;

down converting and discretizing the received transmission to create a discretized signal;

correlating the discretized signal with a set of sense waveforms to create a set of samples, wherein a total number of samples in the set is equal to a total number of sense waveforms in the set, wherein the set of sense waveforms does not match the set of vectors, and wherein the total number of sense waveforms in the set of sense waveforms is fewer than a total number of vectors in the set of vectors; and

transmitting at least one sample of the set of samples to a remote central processor.

2. The method of claim 1 wherein the set of vectors comprises at least one set selected from the list consisting of a row of a basis matrix and a column of a basis matrix.

3. The method of claim 1 further comprising:

selecting a new set of sense waveforms responsive to receiving an instruction from the remote central processor.

4. The method of claim 1 further comprising:

adjusting a timing reference responsive to receiving an instruction from the remote central processor.

5. The method of claim 1 further comprising:

changing the number of sense waveforms responsive to receiving an instruction from the remote central processor.

6. The method of claim 1, wherein the set of vectors and the set of sense waveforms have a coherence value less than or equal to 0.45 multiplied by a square root of a dimension of a vector in the set of vectors.

7. A method of wireless communication, the method comprising:

receiving, at a user equipment, over a wireless channel, an indication of a first set of representation parameters;

transmitting a first signal, wherein the first signal is based at least in part on the first set of representation parameters;

receiving an indication of a second set of representation parameters; and

transmitting a multiple access message, wherein the multiple access message is based at least in part on the second set of representation parameters.

8. The method of claim 7 wherein the multiple access message comprises least a portion of a unique identification number for the user equipment.

9. A method of communication, the method comprising:

receiving, at a central processor, a set of samples;

forming a linear program with L1 minimization using the set of samples, a basis matrix and a set of sense waveforms;

solving the linear program to produce an estimated set of data; and

quantizing the estimated set of data to produce a set of information symbols.

10. The method of claim 9 further comprising:

selecting a first subset of the estimated set of data, wherein a total number of elements in the first subset is a representation parameter, and wherein all elements of the first subset are arithmetically larger than remaining elements of the estimated set of data; and

identifying indices of elements of the first subset.

11. The method of claim 10, wherein the set of information symbols form a binary vector having a length equal to a length of the estimated set of data, and consisting of a logical 1 at each position corresponding to one of the identified indices, and a logical 0 at remaining positions.

12. The method of claim 10 further comprising:

instructing a user equipment to use the representation parameter.

13. A method of wireless communication, the method comprising:

transmitting, to a user equipment, over a wireless channel, an instruction indicating a first set of representation parameters; and

transmitting, to a remote sampler, an instruction indicating a set of sensing parameters.

14. The method of claim 13 further comprising:

selecting the set of sense waveforms based on the first set of representation parameters.

15. The method of claim 13 further comprising:

transmitting, to the user equipment, a set of system parameters.

16. The method of claim 15 wherein the set of system parameters comprises at least one selected from the list consisting of:

a system timing, a frame timing, an indication of a basis matrix, and a system clock.

17. The method of claim 13 further comprising:

receiving, from the remote sampler, a set of samples; and

processing the received set of samples to produce a set of information symbols.

18. The method of claim 17 further comprising:

detecting a multiple access signal from the received set of samples.

19. The method of claim 18 further comprising:

transmitting, to the user equipment, over a wireless channel, an instruction indicating a second set of representation parameters, subsequent to detecting the multiple access message.